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Navigation Stack for Robots Working in Steep Slope Vineyard

Navigation Stack for Robots Working in Steep Slope Vineyard

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Intelligent systems Conference, IntelliSys 2020

作者： Santos, Luís C. Aguiar, André S. Santos, Filipe N. Valente, António Ventura, José Boa Sousa, Armando J. INESC TEC - Institute for Systems and Computer Engineering Technology and Science Porto Portugal UTAD - University of Trás-os-Montes e Alto Douro Vila Real Portugal FEUP - Faculty of Engineering of University of Porto Porto Portugal

ISBN: (纸本)9783030551797

Agricultural robotics is nowadays a complex, challenging, and relevant research topic for the sustainability of our society. Some agricultural environments present harsh conditions to robotics operability. In the case of steep-slope vineyards, there are several robotic challenges: terrain irregularities, characteristics of illumination, and inaccuracy/unavailability of the Global Navigation Satellite System. Under these conditions, robotics navigation, mapping, and localization become a challenging task. Performing these tasks with safety and accuracy, a reliable and advanced Navigation stack for robots working in a steep slope vineyard is required. This paper presents the integration of several robotic components, path planning aware of robot centre of gravity and terrain slope, occupation grid map extraction from satellite images, a localization and mapping procedure based on high-level visual features reliable under GNSS signals blockage/missing, for steep-slope robots. © 2021, Springer Nature Switzerland AG.

关键词： Mapping

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Equivalent dynamic model of active distribution networks for large voltage disturbances

Equivalent dynamic model of active distribution networks for...

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Power tech Conference

作者： Nuno Fulgêncio Carlos Moreira Leonel Carvalho João Peças Lopes INESC TEC Institute for Systems and Computer Engineering Technology and Science Porto Portugal Faculty of Engineering (FEUP) INESC TEC University of Porto Porto Portugal INESC TEC University of Porto Faculty of Engineering INESC TEC

This paper proposes a “grey-box” dynamic equivalent model for medium voltage active distribution networks, taking into account a heterogeneous fleet of generation technologies alongside the latest European grid codes requirements. It aims to properly represent the transient behavior of the system upon large voltage disturbances in the transmission side. The proposed equivalent model is composed by four main components: two equivalent generation units, one for converter-connected units' representation, and another accounting for the synchronous generation units' portfolio; an equivalent composite load model; and a battery energy storage system, also converter-connected to the grid. The model's parameters are estimated by an evolutionary particle swarm optimization algorithm, by comparing a fully-detailed model of a medium voltage distribution network with the equivalent model's frequency domain's responses of active and reactive power flows, at the boundary of distribution-transmission interface substation.

关键词： Mathematical model Load modeling Computational modeling Transient analysis Power system stability Power system dynamics Reactive power

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Hybrid Recommendation System for Young Football Athletes Customized Training

Hybrid Recommendation System for Young Football Athletes Cu...

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Future of Information and Communication Conference, FICC 2020

作者： Matos, Paulo Rocha, João Gonçalves, Ramiro Santos, Filipe Abreu, David Soares, Hugo Martins, Constantino Computer Science Department Engineering Institute - Polytechnic of Porto Porto Portugal Trás-os-Montes e Alto Douro University Vila Real Portugal GECAD Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development Porto Portugal INESC TEC - Institute for Systems and Computer Engineering Technology and Science Porto Portugal

ISBN: (纸本)9783030394448

Information and communication technologies (ICTs) are been increasingly used in sports over the past decades, especially in professional football, with the goal of enhancing preparation and improve the athletes’ performance. Training programs, however, are not accessible for young and amateur athletes. Most of the systems available, don’t have learning skills to adjust, develop and find new suggestions for training, specifically designed for each athlete. In this paper we present the Smart Coach architecture and user adaptation model and describe our hybrid recommendation system to help the development of young athletes. It simplifies the relationship between the team’s technical staff leaders and their young athletes, enhancing the counselling of the young person and their development as an athlete. The system allows performance evaluation for young athletes utilizing various measurements. The match information is captured intuitively and adaptively by acquaintances, relatives and staff, using a comfortable smartphone interface. © Springer Nature Switzerland AG 2020.

关键词： Recommender systems

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Deep Left Ventricular Motion Estimation Methods in Echocardiography: A Comparative Study

Deep Left Ventricular Motion Estimation Methods in Echocardi...

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Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： Sofia Ferraz Miguel Coimbra João Pedrosa Institute for Systems and Computer Engineering Technology and Science (INESC TEC) Faculty of Engineering of the University of Porto (FEUP) Porto Portugal Institute for Systems and Computer Engineering Technology and Science (INESC TEC) Faculty of Sciences of the University of Porto (FCUP) Porto Portugal

ISBN: (数字)9798350371499

ISBN: (纸本)9798350371505

Motion estimation in echocardiography is critical when assessing heart function and calculating myocardial deformation indices. Nevertheless, there are limitations in clinical practice, particularly with regard to the accuracy and reliability of measurements retrieved from images. In this study, deep learning-based motion estimation architectures were used to determine the left ventricular longitudinal strain in echocardiography. Three motion estimation approaches, pretrained on popular optical flow datasets, were applied to a simulated echocardiographic dataset. Results show that PWC-Net, RAFT and FlowFormer achieved an average end point error of 0.20, 0.11 and 0.09 mm per frame, respectively. Additionally, global longitudinal strain was calculated from the FlowFormer outputs to assess strain correlation. Notably, there is variability in strain accuracy among different vendors. Thus, optical flow-based motion estimation has the potential to facilitate the use of strain imaging in clinical practice.

关键词： Training Accuracy Echocardiography Motion estimation Pipelines Noise Strain measurement Reliability Optical flow Strain

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Floating Music Score: System Design 22

Floating Music Score: System Design

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22nd International Conference on Computational science and Its Applications, ICCSA 2022

作者： Ferreira, Gilberto Pinheiro, Marisa Silva, J.C. School of Technology Polytechnic Institute of Cávado and Ave Barcelos Portugal Institute for Systems and Computer Engineering Inesc Tec Porto Portugal 2Ai - School of Technology Polytechnic Institute of Cávado and Ave Barcelos Portugal

ISBN: (纸本)9781665455848

This paper aims to describe an approach to create a useful and effective solution to facilitate the reading of musical scores during the performance or study of pieces, using the aid of Mixed Reality (MR), mobile devices, digital scores, and Data Musical Instrument Digital Interface (MIDI). MR can be defined as a system that combines physical objects with virtual objects. MIDI is a digital file containing musical notation information that can be interpreted by electronic devices. In this project, we aim to use HoloLens glasses and mobile devices, such as tablets or smartphones. The HoloLens are devices that can be used to create realistic holograms to visually represent the scores. The use of the various devices is intended to make the performance easier. The proposed approach aims to interpret scores in MIDI format and present them in hologram format to the MR glasses and graphical format to the mobile devices. In parallel, the system should be able to synchronize the presentation between different devices. © 2022 IEEE.

关键词： Music

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Roadmap for Implementing Business Intelligence systems in Higher Education Institutions: Exploratory Work 20

Roadmap for Implementing Business Intelligence Systems in Hi...

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20th International Conference on Smart Business technologies, ICSBT 2023

作者： Sequeira, Nuno Reis, Arsénio Branco, Frederico Alves, Paulo School of Science and Technology University of Trás-os-Montes and Alto Douro Quinta Dos Prados Vila Real Portugal Instituto Politécnico de Bragança Bragança Portugal INESC TEC Institute for Systems and Computer Engineering Technology and Science Porto Portugal

ISBN: (纸本)9789897586675

Higher Education Institutions must define and monitor strategies and policies essential for decision-making in their various areas and levels, in which Business Intelligence plays a leading role. This research addresses the problem of Business Intelligence system adoption in Higher Education Institutions, with a view, in the first instance, to identify and characterise the strategic objectives that underpin decision-making, activities, processes, indicators and information in Higher Education Institutions. After a literature review, it was found that the absence of a roadmap that can serve as a reference to implement a Business Intelligence system in Higher Education Institutions may limit the adoption of this type of solution. Therefore, this research intends to present the methodology of a proposed roadmap for the implementation of Business Intelligence systems in Higher Education Institutions, that allows for increasing its capacity for analysis and evaluation of the data and information available in the various systems and platforms. © 2023 ICSBT International Conference on Smart Business technologies. All rights reserved.

关键词： Decision making

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Roadmap for Implementing Business Intelligence systems in Higher Education Institutions: Validation of a Case Study at the University of Trás-os-Montes and Alto Douro 21

Roadmap for Implementing Business Intelligence Systems in Hi...

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21st International Conference on Smart Business technologies, ICSBT 2024

作者： Sequeira, Romeu Reis, Arsénio Branco, Frederico Alves, Paulo School of Science and Technology University of Trás-os-Montes and Alto Douro Quinta dos Prados Vila Real Portugal Instituto Politécnico de Bragança Bragança Portugal INESC TEC - Institute for Systems and Computer Engineering Technology and Science Porto Portugal

ISBN: (纸本)9789897587108

The adoption of effective policies and access to relevant information are critical to improving strategic management and performance monitoring in Higher Education Institutions (HEIs), which is essential to promote data-driven decision-making. This article describes how an HEI can carry out the validation process when implementing a Business Intelligence (BI) system, and provides a detailed guide to doing so. Through a case study at the University of Trás-os-Montes and Alto Douro, a structured roadmap is validated, which acts as a visual and sequential guide to facilitate the effective implementation of BI solutions. The validation carried out through semi-structured interviews with experts and evaluation of dashboards by user groups, not only confirms the applicability and efficiency of the proposed model but also emphasises its practical relevance, providing valuable insights for the adaptation and use of BI in different educational contexts. Copyright © 2024 by SCITEPRESS - science and technology Publications, Lda.

关键词： Competitive intelligence

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AI-based Models to Predict the Heart Rate Using PPG and Accelerometer Signals During Physical Exercise

AI-based Models to Predict the Heart Rate Using PPG and Acce...

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IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

作者： Lucas Ribeiro Hélder P. Oliveira Xiao Hu Tania Pereira INESC TEC INESC TEC - Institute for Systems and Computer Engineering Technology and Science FEUP - Faculty of Engineering University of Porto Porto Portugal INESC TEC - Institute for Systems and Computer Engineering Technology and Science FCUP - Faculty of Science University of Porto Porto Portugal Department of Biomedical Informatics School of Medicine Department of Computer Science College of Arts and Sciences Nell Hodgson Woodruff School of Nursing Emory University Atlanta USA INESC TEC - Institute for Systems and Computer Engineering Technology and Science Porto Portugal

PPG signal is a valuable resource for continuous heart rate monitoring; however, this signal suffers from artifact movements, which is particularly relevant during physical exercise and makes this biomedical signal difficult to use for heart rate detection during those activities. The purpose of this study was to develop learning models to determine heart rate using data from wearables (PPG and acceleration signals) and dealing with noise during physical exercise. Learning models based on CNNs and LSTMs were developed to predict the heart rate. The PPG signal was combined with data from accelerometers trying to overcome the noise movement on the PPG signal. Two datasets were used on this work: the 2015 IEEE Signal Processing Cup (SPC) dataset was used for training and testing, and another dataset was used for validation of the learning model (PPG-DaLiA dataset). The predictions obtained by the learning model represented a mean average error of 7.033±5.376 bpm for the SCP dataset, while a mean average error of 9.520±8.443 bpm for the validation set. The use of acceleration data increases the performance of the learning models on the prediction of the heart rate, showing the benefits of using this source of data to overcome the noise movement problem on the PPG signal. The combination of PPG signal with acceleration data could allow the learning models to use more information regarding the motion artifacts that affect the PPG and improve performance on the physiological event detections, which will largely spread the use of wearables on the healthcare applications for continuous monitor the physiological state allowing early and accurate detection of pathological events.

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ROSM - Robotic Oil Spill Mitigations

ROSM - Robotic Oil Spill Mitigations

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2019 OCEANS - Marseille, OCEANS Marseille 2019

作者： Dias, A. Mucha, A.P. Santos, T. Pedrosa, D. Amaral, G. Ferreira, H. Oliveira, A. Martins, A. Almeida, J. Almeida, C.M. Ramos, S. Magalhães, C. Carvalho, M.F. Silva, E. ISEP Instituto Superior de Engenharia do Porto Porto Portugal CIIMAR Centro Interdisciplinar de Investigacao Marinha e Ambiental Porto Portugal INESC TEC Institute for Systems and Computer Engineering Technology and Science Porto Portugal

ISBN: (纸本)9781728114507

The overall aim of the ROSM project is the implementation of an innovative solution based on heterogeneous autonomous vehicles to tackle maritime pollution (in particular, oil spills). These solutions will be based on native microbial consortia with bioremediation capacity, and the adaptation of air and surface autonomous vehicles for in-situ release of autochthonous microorganisms (bioaugmentation) and nutrients (biostimulation). By doing so, these systems can be used as the first line of the responder to pollution incidents from several origins that may occur inside ports, around industrial and extraction facilities, or during transport activities, in a fast, efficient and low-cost way. The paper will address the development of a team of autonomous vehicles able to carry, as payload, native organisms to naturally degrade oil spills (avoiding the introduction of additional chemical or biological additives), the development of a multi-robot system able to provide a first line responses to oil spill incidents under unfavourable and harsh conditions with low human intervention, and then a decentralized cooperative planning with the ability to coordinate an efficient oil spill combat. Field tests have been performed in Leixoes Harbour in Porto and Medas, Portugal, with a simulated oil spill and validated the decentralized coordinated task between the autonomous surface vehicle (ASV) ROAZ and the unmanned aerial vehicle (UAV). © 2019 IEEE.

关键词： Bioremediation

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Controller for Real and Simulated Wheelchair With a Multimodal Interface Using Gazebo and ROS

Controller for Real and Simulated Wheelchair With a Multimod...

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IEEE International Conference on Autonomous Robot systems and Competitions (ICARSC)

作者： Ana Beatriz Cruz Armando Sousa Luìs Paulo Reis LIACC Artificial Intelligence and Computer Science Lab Oporto Portugal INESC TEC Institute for Systems and Computer Engineering Technology and Science

ISBN: (数字)9781728170787

ISBN: (纸本)9781728170794

The evolution of intelligent wheelchairs with new systems to control them and help the user to be more independent has been remarkable in recent years. Since these systems have a significant impact on the quality of life of people with disabilities, it is crucial that it is suited for the final user and does not put his life at risk. Initially, this study proposes a 3D motorised wheelchair model with robotic tools to be used in simulation environments and helps the development and validation of new approaches. This model uses Robotic Operating System (ROS) tools to help the addition of sensors and actuators. With the ROS- Nodes, it is easy to add new features and controllers. The Gazebo framework was used to create the simulation environments. After that, following previous work, it is proposed a wheelchair controller that receives commands from a multimodal interface and can control a real and simulated wheelchair at the same time. This work studies new wheelchair models and their respective controllers in a simulated environment and gradually test in real- world to obtain the final model with low costs and minimise engineering costs.

关键词： Wheelchairs Wheels Solid modeling Visualization Mobile robots Robot sensing systems

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